Optimized detection of cyber-attacks on IoT networks via hybrid deep learning models

Ad Hoc Networks, Год журнала: 2025, Номер 170, С. 103770 - 103770

Опубликована: Янв. 27, 2025

Язык: Английский

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Enhancing IoT security: A competitive coevolutionary strategy for detecting RPL attacks in challenging attack environments

Computer Networks, Год журнала: 2025, Номер unknown, С. 111185 - 111185

Опубликована: Март 1, 2025

Язык: Английский

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Forensics and security issues in the Internet of Things

Wireless Networks, Год журнала: 2025, Номер unknown

Опубликована: Март 27, 2025

Язык: Английский

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Comprehensive review on machine learning and deep learning techniques for malware detection in android and IoT devices

International Journal of Information Security, Год журнала: 2025, Номер 24(3)

Опубликована: Апрель 9, 2025

Язык: Английский

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FootprintNet: a Siamese network method for biometric identification using footprints

The Journal of Supercomputing, Год журнала: 2025, Номер 81(5)

Опубликована: Апрель 9, 2025

Язык: Английский

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Analysis of deep learning-based intrusion detection systems in IoT environments

EDPACS, Год журнала: 2025, Номер unknown, С. 1 - 35

Опубликована: Май 6, 2025

Язык: Английский

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Exploring the Transformative Impact of IoT-Driven Innovations in Public Transportation Systems for Smart Mobility

Lecture notes in networks and systems, Год журнала: 2025, Номер unknown, С. 177 - 193

Опубликована: Янв. 1, 2025

Язык: Английский

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Unveiling the core of IoT: comprehensive review on data security challenges and mitigation strategies

Frontiers in Computer Science, Год журнала: 2024, Номер 6

Опубликована: Июнь 26, 2024

The Internet of Things (IoT) is a collection devices such as sensors for collecting data, actuators that perform mechanical actions on the sensor's collected and gateways used an interface effective communication with external world. IoT has been successfully applied to various fields, from small households large industries. environment consists heterogeneous networks billions increasing daily, making system more complex this need privacy security become major concern. critical components are device identification, number sensors, hardware operating systems, semantics services. layers core application presented in paper protocols each layer. challenges at unveiled review along existing mitigation strategies machine learning, deep lightweight encryption techniques, Intrusion Detection Systems (IDS) overcome these future scope. It concluded after doing intensive Spoofing Distributed Denial Service (DDoS) attacks two most common applications. While spoofing tricks systems by impersonating devices, DDoS flood traffic. also compromised other attacks, botnet man-in-middle etc. which call strong defenses including IDS framework, neural networks, multifactor authentication system.

Язык: Английский

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LCSA-Fed: A low cost semi-asynchronous federated learning based on lag tolerance for services QoS prediction

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Май 10, 2024

As a distributed training method, federated learning (FL) has been widely used in the field of quality-of-service (QoS) prediction. However, existing FL-based QoS prediction methods ignore unreliability end devices, which will lead to wasted resources and high communication costs. Considering that instability devices real environments, we propose low cost semi-asynchronous method (LCSA-Fed) based on lag tolerance overcome lower convergence rate suboptimal accuracy models. LCSA-Fed is able reduce model costs by tolerating relatively lagging local At same time, employ innovations both user selection phase aggregation improve while reducing overheads. By conducting relevant validation experiments publicly available dataset, conclude our can effectively overhead accuracy.

Язык: Английский

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RPL-Shield: A Deep Learning GNN-Based Approach for Protecting IoT Networks from RPL Routing Table Falsification Attacks

Lecture notes in networks and systems, Год журнала: 2024, Номер unknown, С. 117 - 127

Опубликована: Янв. 1, 2024

Язык: Английский

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